Monitoring Frequency Setting Method and Device

ABSTRACT

The present disclosure relates to a monitoring frequency setting method and device. The method includes that: a usage log of a controlled device is acquired; and a monitoring frequency of the controlled device is adjusted according to the usage log.

CROSS-REFERENCE TO RELATED APPLICATION

The present disclosure claims priority to Chinese Patent Application No.201810833137.3, filed on Jul. 25, 2018 and named after “MonitoringFrequency Setting Method and Device”. Contents of the present disclosureare hereby incorporated by reference in entirety of the Chinese PatentApplication.

TECHNICAL FIELD

The present disclosure relates to the technical field of smart home, inparticular to a monitoring frequency setting method and device.

BACKGROUND

Intelligent locks are applied more and more widely, and there arevarious intelligent locks on the market. The intelligent lock isgenerally equipped with fingerprint (biometric recognition, veinrecognition, etc.), password, magnetic card, APP control, remote controland other unlocking ways. Compared with the traditional mechanical lock,the intelligent lock has great progress in safety, convenience and otheraspects. At present, because the intelligent lock needs to keep scanningto see whether someone uses fingerprint, password, magnetic card andother unlocking way to input a unlocking instruction, the intelligentlock is generally powered by at least one battery. An importantparameter of the intelligent lock is a scanning frequency, that is, anumber of times the intelligent lock scans to see if there is any inputin unit time. when the scanning frequency is high, the number of timesof scanning in unit time is large, and the power consumption of theintelligent lock is high.

In a related technology, in order to ensure a sensitivity of theintelligent lock, the scanning frequency is usually set very high. Theintelligent lock is constantly scanning to see if there is a signalinput to unlock the lock, so as to ensure that when someone unlocks, itcan respond immediately rather than taking a while. This way ensures thehigh sensitivity of the intelligent lock, but also leads to the highpower consumption of the intelligent lock, and the battery is notdurable. However, the scanning frequency of the intelligent lock cannotbe set too low, otherwise it lags in response when some unlocks; so, itis insensitive from the user's perspective, and then the users'experience decreases.

SUMMARY

To overcome the problems in the related technology at least to a certainextent, the present application provides a monitoring frequency settingmethod and device.

According to a first aspect of the embodiments of the presentdisclosure, a monitoring frequency setting method is provided, which mayinclude that:

a usage log of a controlled device is acquired; and

a monitoring frequency of the controlled device is adjusted according tothe usage log.

In one of the embodiments, that the monitoring frequency of thecontrolled device is adjusted according to the usage log may includethat:

the number of use in different time periods is counted according to theusage log;

according to the number of use in each time period, the monitoringfrequency of the corresponding time period is determined; and

the monitoring frequency is sent to the controlled device, so that thecontrolled device operates at the monitoring frequency.

In one of the embodiments, the monitoring frequency is positivelycorrelated with the number of use.

In one of the embodiments, that according to the number of use in eachtime period, the monitoring frequency of the corresponding time periodis determined may include that:

according to the number of use in each time period, a weight of eachtime period is determined; and

the monitoring frequency of each time period is determined according tothe weight.

The weight of each time period is positively correlated with the numberof use in the corresponding time period.

In one of the embodiments, that according to the number of use in eachtime period, the weight of each time period is determined may includethat:

the number of use is divided by the time length of the correspondingtime period to calculate a use frequency in the corresponding timeperiod; and

the use frequency is taken as the weight of the corresponding timeperiod.

In one of the embodiments, that the monitoring frequency of each timeperiod is determined according to the weight may include that:

a preset mapping relationship table is read, the mapping relationshiptable recording a corresponding relationship between the weight and themonitoring frequency; and the monitoring frequency of each time periodis determined according to the mapping relationship table.

In one of the embodiments, the method may further include that:

after a preset first period, the weight of each time period in thecurrent first period is redetermined according to the acquired usage login the previous first period.

In one of the embodiments, that the weight of each time period in thecurrent period is redetermined may include that:

the weight of each time period in the previous first period isiteratively updated by means of a neural network model to obtain theweight of each time period in the current first period. The neuralnetwork model is a perception model.

In one of the embodiments, that the usage log of the controlled deviceis acquired may include that:

a usage log data packet sent by the controlled device is received, thedata packet recording the time of using the controlled device.

In one of the embodiments, that the usage log data packet sent by thecontrolled device is received may include that:

the usage log data packet sent by the controlled device each time it isused is received, the data packet containing the current usage time; or

the usage log data packet sent by the controlled device at a presetsecond period is received, the data packet containing each usage time inthe current second period.

In one of the embodiments, that the monitoring frequency of thecontrolled device is adjusted according to the usage log may includethat:

when the usage log is a usage log under multiple usage categories, themonitoring frequency of the corresponding usage category of thecontrolled device is adjusted according to the usage log under eachusage category.

In one of the embodiments, the multiple usage categories include workingday and non-working day.

According to a second aspect of the embodiments of the presentapplication, a monitoring frequency setting device is provided, whichmay include an acquiring module and an adjusting module.

The acquiring module is configured to acquire the usage log of thecontrolled device.

The adjusting module is configured to adjust the monitoring frequency ofthe controlled device according to the usage log.

In one of the embodiments, the adjusting module includes: a countingmodule, a determining module, and a sending module.

The counting module is configured to count the number of use indifferent time periods according to the usage log.

The determining module is configured to determine, according to thenumber of use in each time period, the monitoring frequency of thecorresponding time period.

The sending module is configured to send the monitoring frequency to thecontrolled device, so that the controlled device operates at themonitoring frequency.

In one of the embodiments, the monitoring frequency is positivelycorrelated with the number of use.

In one of the embodiments, the determining module is specificallyconfigured to:

determine a weight of each time period according to the number of use ineach time period; and

determine the monitoring frequency of each time period according to theweight.

The weight of each time period is positively correlated with the numberof use in the corresponding time period.

In one of the embodiments, the determining module is specificallyconfigured to:

divide the number of use by the time length of the corresponding timeperiod to calculate the use frequency in the corresponding time period;and take the use frequency as the weight of the corresponding timeperiod.

In one of the embodiments, the determining module is specificallyconfigured to:

read the preset mapping relationship table, the mapping relationshiptable recording the corresponding relationship between the weight andthe monitoring frequency; and

determine the monitoring frequency of each time period according to themapping relationship table.

In one of the embodiments, the device may further include:

an updating module, configured to redetermine, after the preset firstperiod, the weight of each time period in the current first periodaccording to the acquired usage log in the previous first period.

In one of the embodiments, the updating module is specificallyconfigured to:

iteratively update the weight of each time period in the previous firstperiod by means of a neural network model to obtain the weight of eachtime period in the current first period. The neural network model is aperception model.

In one of the embodiments, the acquiring module is specificallyconfigured to:

receive the usage log data packet sent by the controlled device, thedata packet recording the time of using the controlled device.

In one of the embodiments, the acquiring module is specificallyconfigured to:

receive the usage log data packet sent by the controlled device eachtime it is used, the data packet containing the current usage time; or

receive the usage log data packet sent by the controlled device at apreset second period, the data packet containing each usage time in thecurrent second period.

In one of the embodiments, the adjusting module is further configuredto:

when the usage log is a usage log under multiple usage categories,adjust the monitoring frequency of the corresponding usage category ofthe controlled device according to the usage log under each usagecategory.

In one of the embodiments, the multiple usage categories include workingday and non-working day.

According to a third aspect of the embodiments of the presentapplication, a control terminal is provided, which includes: a controldevice. The control device at least includes the following modules:

an acquiring module, configured to acquire the usage log of thecontrolled device;

and an adjusting module, configured to adjust the monitoring frequencyof the controlled device according to the usage log.

According to a fourth aspect of the embodiments of the presentdisclosure, a monitoring frequency setting method is provided, which mayinclude that:

a monitoring frequency sent by the control terminal is received, themonitoring frequency being determined by the control terminal accordingto the usage log of the controlled device; and

operation is performed according to the monitoring frequency.

In one of the embodiments, the method may further include that:

the usage log of the control vehicle is sent to the control terminal.

According to a fifth aspect of the embodiments of the presentapplication, a monitoring frequency setting device is provided, whichmay include a receiving module and an execution module.

The receiving module is configured to receive the monitoring frequencysent by the control terminal, the monitoring frequency being determinedby the control terminal according to the usage log of a controlleddevice.

The execution module is configured to operate according to themonitoring frequency.

According to a sixth aspect of the embodiments of the presentdisclosure, an intelligent device is provided, which may include: acontrol device. The control device at least includes the followingmodules:

a receiving component, configured to receive the monitoring frequencysent by the control terminal, the monitoring frequency being determinedby the control terminal according to the usage log of the controlleddevice; and

an execution component, configured to operate according to themonitoring frequency.

In an embodiment, the device is an intelligent lock.

The technical solutions provided in the embodiments of the presentapplication may have the following beneficial effects.

The monitoring frequency of the controlled device at different timeperiods is adjusted according to the usage log thereof, so that thecontrolled device has no need to always operate at a very highmonitoring frequency, thereby saving electricity and prolonging theservice life of a battery.

The method may be applied to an intelligent lock, and can solve theproblem that the power consumption of the intelligent lock is too highwhen a scanning frequency is set too high, and the intelligent lock isinsensitive when the scanning frequency is set too low. By adjusting thescanning frequency of the intelligent lock, the power consumption of theintelligent lock can be reduced and the battery life of the intelligentlock can be prolonged without affecting the sensitivity of theintelligent lock to receive an unlocking signal.

It should be understood that the above general descriptions and detaileddescriptions below are only exemplary and explanatory and are notintended to limit the present disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute apart of this specification, illustrate embodiments consistent with thepresent application and, together with the description, serve to explainthe principles of the present application.

FIG. 1 is a flowchart of a monitoring frequency setting method accordingto an exemplary embodiment.

FIG. 2 is a specific flowchart of S102 in FIG. 1.

FIG. 3 is a block diagram of an internal circuit of an intelligent lockaccording to an exemplary embodiment.

FIG. 4 is a flowchart of signal transmission in a method for setting ascanning frequency of an intelligent lock according to an exemplaryembodiment.

FIG. 5 is a block diagram of a circuit of a monitoring frequency settingapparatus according to an exemplary embodiment.

DETAILED DESCRIPTION OF THE EMBODIMENTS

Reference will now be made in detail to exemplary embodiments, examplesof which are illustrated in the accompanying drawings. The followingdescription refers to the accompanying drawings in which the samenumbers in different drawings represent the same or similar elementsunless otherwise represented. _The implementations set forth in thefollowing description of exemplary embodiments do not represent allimplementations consistent with the present disclosure. Instead, theyare merely examples of apparatuses and methods consistent with aspectsrelated to the present disclosure as recited in the appended claims.

FIG. 1 is a flowchart of a monitoring frequency setting method accordingto an exemplary embodiment. The method is applied to a control terminaland may include the following steps.

At S101, a usage log of a controlled device is acquired.

At S102, a monitoring frequency of the controlled device is adjustedaccording to the usage log.

By means of the method in the present disclosure, the monitoringfrequency of the controlled device at different time periods may beadjusted according to the usage log of the controlled device, so as tobe that the controlled device has no need to always operate at a veryhigh monitoring frequency, thereby electricity of the controlled deviceis saved, and the service life of a battery in the controlled device isprolonged.

The method may be applied to an intelligent lock, and a scanningfrequency of the intelligent lock is the monitoring frequency in themethod. The method can solve the problem that the power consumption ofthe intelligent lock is too high when a scanning frequency is set toohigh, and the intelligent lock is insensitive when the scanningfrequency is set too low. By adjusting the scanning frequency of theintelligent lock, the power consumption of the intelligent lock can bereduced and the battery life of the intelligent lock can be prolongedwithout affecting the sensitivity of the intelligent lock to receive anunlocking signal.

As shown in FIG. 2, in some embodiments, that the monitoring frequencyof the controlled device is adjusted according to the usage log at S102may include the following steps.

At S1021, a usage counter of the controlled device in each of differenttime periods is counted according to the usage log.

At S1022, the monitoring frequency of each of different time periods isdetermined, according to the usage counter in the corresponding timeperiod.

At S1023, the monitoring frequency is sent to the controlled device, asto indicate the controlled device to operate according to the monitoringfrequency.

In the method, it is needed to divide a whole day into several timeperiods, and then the usage log is counted and analyzed, and further aspecific monitoring frequency that should be used in each of differenttime periods is determined.

In some embodiments, the monitoring frequency is positively correlatedwith the usage counter.

It is easy to understand that the greater the usage counter in a giventime period, the higher the monitoring frequency should be. In a timeperiod of frequency use, the intelligent lock is required to be moreresponsive, so as to meet the user's use experience, but in a timeperiod of less use, even if the response of the intelligent lock isrelatively slow, the user's use experience is greatly affected.

In some embodiments, that the monitoring frequency of each of differenttime periods is determined according to the usage counter in thecorresponding time period at S1022 may include the following steps.

A weight of each of different time periods is determined according tothe usage counter in the corresponding time period; and

the monitoring frequency of each of different time periods is determinedaccording to the weight.

The weight is positively correlated with the usage counter.

In some embodiments, that the weight of each of different time periodsis determined according to the usage counter in the corresponding timeperiod may include the following steps.

The usage counter in each of different time periods is divided by a timelength in the corresponding time period to calculate a usage frequencyof in the corresponding time period; and

the usage frequency is determined as the weight in the correspondingtime period.

In some embodiments, that the monitoring frequency of each of differenttime periods is determined according to the weight may include thefollowing steps.

A preset mapping relationship table is read, the mapping relationshiptable recording a corresponding relationship between the weight of andthe monitoring frequency; and

the monitoring frequency of each of different time periods is determinedaccording to the mapping relationship table.

After a positive correlation between the usage counter and themonitoring frequency is determined, it is further needed to determine aspecific corresponding relation of values between the usage counter andthe monitoring frequency. There is no fixed optimal solution for thecorresponding relationship, and depending on an actual situation, aslong as a more appropriate value is determined based on the user's useexperience.

In some embodiments, the method may further include the following step.

After a preset first period, the weight of each of different timeperiods in a current first period is redetermined according to anacquired usage log in a previous first period.

Considering that the user's schedule is likely to change, there is adynamic adjustment mechanism in the method. That is, every once in awhile, for example, a week or a month, the weight of each of differenttime periods is redetermined according to the usage log in the timeperiod, and when the monitoring frequency corresponding to the weight isdetermined to change, the monitoring frequency is updated.

In some embodiments, that the weight of each of different time periodsin the current period is redetermined at S103 may include the followingsteps.

The weight of each of different time periods in the previous firstperiod is iteratively updated by a neural network model to obtain theweight of each of different time periods in the current first period.The neural network model is a perception model.

In order to adapt to a more complex actual situation, the weight of eachof different time periods may be updated iteratively by means of theneural network model, specifically the perception model, so as torealize a dynamic adjustment of the monitoring frequency.

In some embodiments, that the usage log of the controlled device isacquired at S101 may include the following step.

The usage log data packet sent by the controlled device is received, thedata packet recording a usage time period the controlled device.

In some embodiments, that the usage log data packet sent by thecontrolled device is received may include the following step.

The usage log data packet sent by the controlled device in each timewhen the controlled device is used is received, the data packetincluding a current usage time;

or the usage log data packet sent by the controlled device at a presetsecond period is received, the data packet including each usage timeperiod in a current second period.

For the controlled device, different ways may be set to send the usagelog. For example, the usage log of this time may be sent to the controlterminal in real time after each use. A time period, for example, anhour, a day, etc., may also be set, and after each of different timeperiods, the usage log within the time period is packed and sent. Itshould be noted that the second period is different from the firstperiod above, and the second period cannot be greater than the firstperiod, so as to ensure that the dynamic adjustment is not affected.

In some embodiments, that the monitoring frequency of the controlleddevice is adjusted according to the usage log may include that:

when the usage log is a usage log under multiple usage categories, themonitoring frequency of each of the plurality of the usage category ofthe controlled device is adjusted according to the usage log under eachof the plurality of the usage categories.

In some embodiments, the multiple usage categories include working dayand non-working day.

Considering that users have different sleep and rest patterns in each ofdifferent time periods, such as the working days and the non-workingdays, different types of days may be set according to different schemes.

An intelligent lock is taken as an example, the method of the presentdisclosure is further elaborated below.

FIG. 3 is a model for querying if there is an unlocking instructioninput in the intelligent lock, in which MCU constantly queries and scans10 to see if there is a signal input, which results in a high scanningfrequency of the intelligent lock and the high power consumption of theintelligent lock.

FIG. 4 is a signal transmission process in which the intelligent lockadjusts the scanning frequency according to the user's habits. Theintelligent lock records unlocking time in each time the user unlocks,and then packs and sends it to an intelligent terminal. An APP installedon the intelligent terminal processes the data and obtains the weightsof different time periods. The intelligent terminal sends a controlinstruction to the intelligent lock according to the weights, so as tomodify the scanning frequency of the intelligent lock.

Before the intelligent terminal modifies the scanning frequency of theintelligent lock, there is an initial scanning frequency the intelligentlock and the intelligent lock operates according to an initial scanningfrequency. After a period of use, the scanning frequency may be adjustedaccording to actual use.

In a data processing process, the whole day should first be divided into7 time periods, such as 6:30-8:30, 8:30-11:30, 11:30-1:30, 13:30-17:30,17:30-19:30, 19:30-22:30 and 22:30-6:30 respectively, the number oftimes S of the user unlocking in these time periods is counted, and thenumber of times S/T of unlocking in unit time is calculated as aninitial value of the weight, while the scanning frequency of theintelligent lock is set according to the weight.

A mapping relationship table between the weight and the scan frequencyis shown below:

Weight <0.5 0.5-1 1-3 3-5 6-10 >10 Frequency/Hz 0.5 1 2 4 10 100

An approximate scanning frequency of different time periods isdetermined according to the counted number of times of unlocking in unittime, then, the weight is iterated by means of a perception algorithmw(k+1)=w(k)+cx to continuously update the weight. When the weight tendsto be stable and changes little, the time periods are divided and setagain.

The scanning frequency of the intelligent lock in each of different timeperiods is set according to the rules and habits of the user's dailylife. The scanning frequency is set a little higher when the user opensthe intelligent lock more frequently, and set a little lower when theuser opens the door less or hardly opens the intelligent lock. Forexample, current office workers go out in the morning and go back homein the afternoon or evening, and they are mostly not at home at noon. Inthis case, time of unlocking generally concentrates in the morning andafternoon, so at the noon when they hardly open the intelligent lock, alow scanning frequency may be set to reduce the power consumption andmake the battery more durable.

In addition, when the intelligent lock is set in the same way every day,there is bound to be a problem. For example, holiday schedule is usuallydifferent from working day, so an unlocking time of the holiday and anunlocking time of the working day must be different. Therefore, it isnecessary to make continuous and circular statistics to the lockingtime, and differentiated setting is more precise.

FIG. 5 is a block diagram of a circuit of a monitoring frequency settingapparatus according to an exemplary embodiment. Referring to FIG. 5, theapparatus includes an acquiring component 501 and an adjusting component502.

The acquiring component 501 is configured to acquire the usage log ofthe controlled device.

The adjusting component 502 is configured to adjust the monitoringfrequency of the controlled device according to the usage log.

In some embodiments, the adjusting component 502 includes: a countingcomponent, a determining component, and a sending component.

The counting component is configured to count the usage counter in eachof different time periods according to the usage log.

The determining component is configured to determine, according to theusage counter in the corresponding time period, the monitoring frequencyof each of different time periods.

The sending component is configured to send the monitoring frequency tothe controlled device, as to indicate the controlled device to operateaccording to the monitoring frequency.

In some embodiments, the monitoring frequency is positively correlatedwith the usage counter.

In some embodiments, the determining component is specificallyconfigured to:

determine a weight of each of different time periods according to theusage counter in the corresponding time period; and

determine the monitoring frequency of each of different time periodsaccording to the weight.

The weight is positively correlated with the usage counter in each ofdifferent time periods.

In some embodiments, the determining component is specificallyconfigured to:

divide the usage counter in each of different time periods by a timelength in the corresponding time period to calculate a usage frequencyin the corresponding time period; and

determine the usage frequency of each of different time periods as theweight of each of different time periods.

In some embodiments, the determining component is specificallyconfigured to:

read the preset mapping relationship table, the mapping relationshiptable recording a corresponding relationship between the weight and themonitoring frequency; and

determine the monitoring frequency of each of different time periodsaccording to the mapping relationship table.

In some embodiments, the apparatus may further include:

an updating component, configured to redetermine, after a preset firstperiod, the weight of each of different time periods in a current firstperiod according to an acquired usage log in the previous first period.

In some embodiments, the updating component is specifically configuredto:

iteratively update the weight of each of different time periods in theprevious first period by a neural network model to obtain the weight ofeach of different time periods in the current first period. The neuralnetwork model is a perception model.

In some embodiments, the acquiring component 501 is specificallyconfigured to:

receive the usage log data packet sent by the controlled device, thedata packet recording a usage time period the controlled device.

In some embodiments, the acquiring component 501 is specificallyconfigured to:

receive the usage log data packet sent by the controlled device in eachtime when the controlled device is used, the data packet including acurrent usage time period; or

receive the usage log data packet sent by the controlled device at apreset second period, the data packet including each usage time periodin a current second period.

In some embodiments, the adjusting component 502 is further configuredto:

when the usage log is a usage log under multiple usage categories,adjust the monitoring frequency of each of the multiple usage categoriesof the controlled device according to the usage log under each of themultiple usage categories.

In some embodiments, the multiple usage categories include working dayand non-working day.

With regard to the apparatus in the above embodiments, the specificmethod of each component performing operations has been described indetail in the embodiments of the method, so it will not be repeatedhere.

The present disclosure also provides the following embodiments.

A control terminal is provided, which includes a control device. Thecontrol device at least includes the following components:

an acquiring component, configured to acquire the usage log of thecontrolled device; and

an adjusting component, configured to adjust the monitoring frequency ofthe controlled device according to the usage log.

The present disclosure also provides the following embodiment.

A monitoring frequency setting method is provided, which may includethat:

the monitoring frequency sent by a control terminal is received, themonitoring frequency being determined by the control terminal accordingto a usage log of a controlled device; and

operation is performed according to the monitoring frequency.

In some embodiments, the method may further include that:

the usage log of the control vehicle is sent to the control terminal.

The present disclosure also provides the following embodiment.

A monitoring frequency setting device is provided, which includes areceiving component and an execution component.

The receiving component is configured to receive the monitoringfrequency sent by the control terminal, the monitoring frequency beingdetermined by the control terminal according to the usage log of acontrolled device.

The execution component is configured to operate according to themonitoring frequency.

The present disclosure also provides the following embodiments.

An intelligent device is provided, which includes a control device. Thecontrol device at least includes the following modules:

a receiving component, configured to receive the monitoring frequencysent by the control terminal, the monitoring frequency being determinedby the control terminal according to the usage log of the controlleddevice; and

an execution component, configured to operate according to themonitoring frequency.

In some embodiments, the device is an intelligent lock.

It should be understandable that the same or similar parts of the aboveembodiments may be referred to each other, and those not specified insome embodiments may be referred to the same or similar contents inother embodiments.

It should be noted that in the description of the present disclosure,terms “first”, “second” and the like are used for descriptive purposesonly and are not to be construed as indicating or implying relativeimportance. Further, in the description of the present disclosure, themeaning of “multiple” is at least two unless otherwise specified.

Any process or method in the flowcharts or described herein in anothermanner may be understood to represent a component, segment or partincluding codes of at least one executable instruction configured torealize specific logic functions or steps of the process and, moreover,the scope of the preferred implementation mode of the disclosureincludes other implementation, not in a sequence shown or discussedherein, including execution of the functions basically simultaneously orin an opposite sequence according to the involved functions. This shouldbe understood by those skilled in the art of the embodiments of thedisclosure.

It should be understood that each part of the disclosure may beimplemented by hardware, software, firmware or a combination thereof. Inthe above embodiments, multiple steps or methods may be implemented bysoftware or firmware stored in a memory and executed by a properinstruction execution system. For example, in case of implementationwith the hardware, like another embodiment, any one or combination ofthe following technologies well-known in the art may be adopted forimplementation: a discrete logic circuit with a logic gate circuitconfigured to realize a logic function for a data signal, andisclosure-specific integrated circuit with a proper combined logic gatecircuit, a Programmable Gate Array (PGA), a Field Programmable GateArray (FPGA) and the like.

Those of ordinary skill in the art should understand that all or part ofthe steps in the method of the above embodiment may be completed throughrelated hardware instructed by a program, the program may be stored in acomputer-readable storage medium, and when the program is executed, oneor combination of the steps of the method embodiments is included.

In addition, each functional unit in each embodiment of the presentdisclosure may be integrated into a processing module, each unit mayalso physically exist independently, and two or more than two units mayalso be integrated into a component. The integrated module may berealized in form of hardware or in form of software function component.When the integrated unit is implemented by software function components,and the software function components are sold or used as independentproducts, they can also be stored in a computer readable storage medium.

The storage media mentioned above may be an ROM, a disk or a compactdisc, etc.

In the descriptions of the specification, the descriptions made withreference to terms “an embodiment”, “some embodiments”, “example”,“specific example”, “some examples” or the like refer to that specificfeatures, structures, materials or characteristics described incombination with the embodiment or the example are included in at leastone embodiment or example of the disclosure. In the specification, aschematic representation of the above terms does not necessarily referto the same embodiment or example. Moreover, the specific describedfeatures, structures, materials or characteristics may be combined in aproper method in any one or more embodiments or examples.

Although the embodiments of the present disclosure are shown anddescribed above, it should be understandable that the above embodimentsare exemplary and not to be construed as limitations of the presentdisclosure, and those of ordinary skill in the art may make changes,modifications, replacements and variations of the above embodimentswithin the scope of the present disclosure.

What is claimed is:
 1. A monitoring frequency setting method,comprising: acquiring a usage log of a controlled device; and adjustinga monitoring frequency of the controlled device according to the usagelog.
 2. The monitoring frequency setting method as claimed in claim 1,wherein adjusting the monitoring frequency of the controlled deviceaccording to the usage log comprises: counting a usage counter of thecontrolled device in each of different time periods according to theusage log; determining the monitoring frequency of each of differenttime periods according to the usage counter in the corresponding timeperiod.
 3. The monitoring frequency setting method as claimed in claim2, wherein the monitoring frequency is positively correlated with theusage counter.
 4. The monitoring frequency setting method as claimed inclaim 3, wherein determining the monitoring frequency of each ofdifferent time periods according to the usage counter in thecorresponding time period comprises: determining a weight of each ofdifferent time periods according to the usage counter in thecorresponding time period; determining the monitoring frequency of eachof different time periods according to the weight, wherein the weight ispositively correlated with the usage counter.
 5. The monitoringfrequency setting method as claimed in claim 4, wherein determining theweight of in each of different time periods according to the usagecounter in the corresponding time period comprises: dividing the usagecounter in each of different time periods by a time length in thecorresponding time period to calculate a usage frequency in thecorresponding time period; and determining the usage frequency as theweight in the corresponding time period.
 6. The monitoring frequencysetting method as claimed in claim 4, wherein determining the monitoringfrequency of each of different time periods according to the weightcomprises: reading a preset mapping relationship table, the mappingrelationship table recording a corresponding relationship between theweight and the monitoring frequency; and determining the monitoringfrequency of each of different time periods according to the mappingrelationship table.
 7. The monitoring frequency setting method asclaimed in claim 4, further comprising: after a preset first period,redetermining the weight of each of different time periods in a currentfirst period according to an acquired usage log in a previous firstperiod.
 8. The monitoring frequency setting method as claimed in claim7, wherein redetermining the weight of each of different time periods inthe current period comprises: iteratively updating the weight of each ofdifferent time periods in the previous first period by a neural networkmodel to obtain the weight of each of different time periods in thecurrent first period, wherein the neural network model is a perceptionmodel.
 9. The monitoring frequency setting method as claimed claim 1,wherein acquiring the usage log of the controlled device comprises:receiving a usage log data packet sent by the controlled device, thedata packet recording a usage time period the controlled device.
 10. Themonitoring frequency setting method as claimed in claim 9, whereinreceiving the usage log data packet sent by the controlled devicecomprises: receiving the usage log data packet sent by the controlleddevice in each time when the controlled device is used, the data packetcomprising a current usage time period; or receiving the usage log datapacket sent by the controlled device at a preset second period, the datapacket comprising each usage time period in a current second period. 11.The monitoring frequency setting method as claimed in claim 1, whereinadjusting the monitoring frequency of the controlled device according tothe usage log comprises: when the usage log is a usage log under aplurality of usage categories, adjusting the monitoring frequency ofeach of the plurality of the usage categories of the controlled deviceaccording to the usage log under each of the plurality of the usagecategories.
 12. The monitoring frequency setting method as claimed inclaim 11, wherein the plurality of usage categories comprise working dayand non-working day.
 13. (canceled)
 14. (canceled)
 15. A monitoringfrequency setting method, comprising: receiving a monitoring frequencysent by a control terminal, the monitoring frequency being determined bythe control terminal according to a usage log of a controlled device;and operating according to the monitoring frequency.
 16. The monitoringfrequency setting method as claimed in claim 15, further comprising:sending the usage log of the control vehicle to the control terminal.17. (canceled)
 18. An intelligent device, comprising: a control device,which at least comprises the following modules: a receiving component,configured to receive a monitoring frequency sent by a control terminal,the monitoring frequency being determined by the control terminalaccording to a usage log of a controlled device; and an executioncomponent, configured to operate according to the monitoring frequency.19. The intelligent device as claimed in claim 18, wherein the device isan intelligent lock.
 20. The monitoring frequency setting method asclaimed in claim 2, further comprising: sending the monitoring frequencyto the controlled device, as to indicate the controlled device tooperate according to the monitoring frequency.
 21. The monitoringfrequency setting method as claimed in claim 5, further comprising:after a preset first period, redetermining the weight of each ofdifferent time periods in the current first period according to theacquired usage log in the previous first period.
 22. The monitoringfrequency setting method as claimed in claim 6, further comprising:after a preset first period, redetermining the weight of each ofdifferent time periods in the current first period according to theacquired usage log in the previous first period.
 23. The monitoringfrequency setting method as claimed in claim 2, wherein acquiring theusage log of the controlled device comprises: receiving a usage log datapacket sent by the controlled device, the data packet recording theusage time period the controlled device.